Research

Case Studies

Using PyTorch for Monocular Depth Estimation Webinar

In this webinar, Bob Chesebrough of Intel guides you through the steps he took to…

PyTorch FoundationSeptember 27, 2024

Case Studies

IBM Research: Bringing massive AI models to any cloud

The field of AI is in the middle of a revolution. In recent years, AI…

PyTorch FoundationNovember 17, 2022

Case Studies

ChemicalX: A Deep Learning Library for Drug Pair Scoring

In this paper, we introduce ChemicalX, a PyTorch-based deep learning library designed for providing a…

PyTorch FoundationFebruary 10, 2022

Case Studies

The Why and How of Scaling Large Language Models

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and…

PyTorch FoundationJanuary 4, 2022

Case Studies

SearchSage: Learning Search Query Representations at Pinterest

Pinterest surfaces billions of ideas to people every day, and the neural modeling of embeddings…

PyTorch FoundationNovember 9, 2021

Case Studies

Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant

Grapheme to Phoneme (G2P) is a function that generates pronunciations (phonemes) for words based on…

PyTorch FoundationSeptember 7, 2021

Case Studies

University of Pécs enables text and speech processing in Hungarian, builds the BERT-large model with just 1,000 euro with Azure

Everyone prefers to use their mother tongue when communicating with chat agents and other automated…

PyTorch FoundationAugust 10, 2021

Case Studies

How 3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with TorchElastic and Kubernetes

Deep Learning development is becoming more and more about minimizing the time from idea to…

PyTorch FoundationJune 17, 2021

Case Studies

AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch

AI21 Labs uses machine learning to develop language models focused on understanding meaning, and in…

PyTorch FoundationJune 7, 2021

Case Studies

Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA

At deepset, we’re building the next-level search engine for business documents. Our core product, Haystack,…

PyTorch FoundationJanuary 27, 2021

Case Studies

Graph Convolutional Operators in the PyTorch JIT

In this talk, scientist Lindsey Gray and Ph.D. student Matthias Fey co-examine how the challenges…

PyTorch FoundationDecember 2, 2020

Case Studies

Using deep learning and PyTorch to power next gen aircraft at Caltech

Learn how Caltech’s Center for Autonomous Systems and Technologies (CAST) uses PyTorch to build deep…

PyTorch FoundationNovember 14, 2019

Case Studies

PyTorch at Dolby Labs

Hear how Dolby Labs is using PyTorch to develop deep learning for audio, and learn…

PyTorch FoundationNovember 6, 2019

Case Studies

Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm

With roads in developed countries like the US changing up to 15% annually, Mapillary addresses…

PyTorch FoundationJuly 23, 2019

Using PyTorch for Monocular Depth Estimation Webinar

IBM Research: Bringing massive AI models to any cloud

ChemicalX: A Deep Learning Library for Drug Pair Scoring

The Why and How of Scaling Large Language Models

SearchSage: Learning Search Query Representations at Pinterest

Using a Grapheme to Phoneme Model in Cisco’s Webex Assistant

University of Pécs enables text and speech processing in Hungarian, builds the BERT-large model with just 1,000 euro with Azure

How 3DFY.ai Built a Multi-Cloud, Distributed Training Platform Over Spot Instances with TorchElastic and Kubernetes

AI21 Labs Trains 178-Billion-Parameter Language Model Using Amazon EC2 P4d Instances, PyTorch

Deepset achieves a 3.9x speedup and 12.8x cost reduction for training NLP models by working with AWS and NVIDIA

Graph Convolutional Operators in the PyTorch JIT

Using deep learning and PyTorch to power next gen aircraft at Caltech

PyTorch at Dolby Labs

Mapillary Research: Seamless Scene Segmentation and In-Place Activated BatchNorm

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